← The AI Pilot
The AI Pilot · № 14

RAG Master

Built a working retrieval-augmented system on a real document corpus, a working "ask my library" or "ask my notes" tool.

The idea

Retrieval works when the index is good. Garbage in, garbage out. Have your kid focus on document prep, chunking, metadata, embeddings, before they touch generation. Most RAG projects fail at retrieval, not at the model answering. The boring data work is the whole milestone. The kid who wants to skip to the answers will build a system that confidently retrieves the wrong context every time.

Steps
  1. Pick a real document corpus.
  2. Prep documents: chunking, metadata, embeddings.
  3. Build retrieval and generation pipeline.
  4. Demo it answering real questions.
What counts

A working retrieval-augmented system on real documents. A short demo is plenty.